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DTSTART:20170519T180000
DTEND:20170519T203000
DTSTAMP:20180319T192417
ORGANIZER:no-reply@computerhistory.org
SUMMARY;LANGUAGE=en-us:Computer History Museum | Big Data Gets Political
UID:435-computerhistory.org
CLASS:PUBLIC
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: Liking your favorite musicians, restaurants, and travel destinations on Facebook may seem harmless. But each click may have played a crucial role in Donald Trumpís victory and the UKís vote to leave the European Union.=0D=0A =0D=0ADr. Michal Kosinski turned studying Facebook likes into a science at Cambridge Universityís Psychometrics Center. He and a fellow student developed a personality quiz application that encouraged users to opt into sharing their Facebook profiles. This allowed Kosinski to create a database that linked usersí Facebook likes with the personality traits they revealed by taking the quiz. In addition to discovering correlations between personality and the things users liked on Facebook, he was able to predict a userís skin color, sexual orientation, political leanings, and even alcohol and drug use.=0D=0A=0D=0AIt didnít take long before Kosinskiís work attracted the attention of the private sectoróspecifically, a big data firm that gave rise to Cambridge Analytica, the analytics company that worked with the Trump and LeaveEU campaigns. Kosinski, who had become increasingly uneasy as he started to consider the implications of his research, turned down the companyís offer to pay for access to his database. He soon learned that the company had created a copy of his data tool and was using it in the wild.=0D=0A=0D=0ADr. Michal Kosinski joins us to share his storyóhis work in psychometrics, how his big data tool works, the methods he warned against and finally, his vision for the future of data in politics and beyond.=0D=0A=0D=0AThis event will be streamed live on our Facebook page: facebook.com/computerhistory.=0D=0A
LOCATION:Computer History Museum, 1401 N Shoreline Blvd. Mountain View, CA 94043
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